AI for Science · Thu 5 Nov

AI for Science refers to the application of machine learning methods to accelerate scientific discovery and research workflows across academic and industrial laboratories. Truncated covers research papers, computational biology tools, materials discovery models, and laboratory automation updates.

Thursday 5 November

Nvidia Open Models Help Developers Accelerate Science And Engineering

AI-generated summary Nvidia has developed a portfolio of seven open AI models that are utilized across various industries for applications including agentic services, vision reasoning, and robotics. According to the publication, these models help companies accelerate workflows such as Dassault Systèmes using Nemotron for computer-aided engineering design and Siemens using Cosmos for factory agents.

Also covered by dailysynapse.com

How scientists use Claude

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AI-generated summary Researchers study the scientific use of Claude, Claude Code, and Claude Science using privacy-preserving infrastructure on consumer plans from August 2 to September 30, 2026. The report shows that formal sciences use Claude more heavily, and scientists utilize the tool more frequently for analyzing data and writing.

AI’s Next Trick? Speaking Dolphin

AI-generated summary Denise Herzing, founder and director of the Wild Dolphin Project, states that artificial intelligence is helping her research group find patterns in the communication of Atlantic spotted dolphins. Herzing is collaborating with scientists at Georgia Tech and Google DeepMind to structure the language of dolphins and attempt two-way communication using an underwater wearable computer.